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视觉注意理论(TVA)用于基于参数的注意力测量的实用性II:来自两名额叶或顶叶损伤患者的证据。

Usability of a theory of visual attention (TVA) for parameter-based measurement of attention II: evidence from two patients with frontal or parietal damage.

作者信息

Bublak Peter, Finke Kathrin, Krummenacher Joseph, Preger Rudolf, Kyllingsbaek Søren, Müller Hermann J, Schneider Werner X

机构信息

General and Experimental Psychology, Ludwig Maximilian University, Munich, Germany.

出版信息

J Int Neuropsychol Soc. 2005 Nov;11(7):843-54. doi: 10.1017/s1355617705050988.

Abstract

Based on a 'Theory of Visual Attention' (TVA), whole and partial report of brief letter arrays is presented as a diagnostic tool to estimate four clinically significant attentional components: perceptual processing speed, visual working memory storage capacity, efficiency of top-down control, and spatial distribution of attention. The procedure used was short enough to be applicable within a standard clinical setting. Two brain-damaged patients, selected based on lesion location and neuropsychological test profile, were compared to a control group of 22 healthy subjects. One patient with a right inferior parietal lesion showed a pattern of non-spatially and spatially lateralized attention deficits that is typically found in neglect patients. Results from the second patient supported the decisive role of superior frontal brain structures for top-down control of visual attention. This double dissociation supports the hypothesis that, even with a short version of whole and partial report, valid and meaningful results can be obtained in the neuropsychological assessment of attention deficits. The potential and constraints of TVA-based parameter estimation for the clinical application are discussed.

摘要

基于“视觉注意理论”(TVA),简短字母阵列的整体和部分报告被用作一种诊断工具,以评估四个具有临床意义的注意成分:感知处理速度、视觉工作记忆存储容量、自上而下控制的效率以及注意的空间分布。所使用的程序足够简短,可在标准临床环境中应用。根据病变位置和神经心理测试概况选择了两名脑损伤患者,并与22名健康受试者组成的对照组进行比较。一名右侧顶下叶病变患者表现出一种在忽视患者中常见的非空间和空间侧向注意缺陷模式。第二名患者的结果支持了额叶上部脑结构对视觉注意自上而下控制的决定性作用。这种双重分离支持了这样一种假设,即即使使用简短版本的整体和部分报告,在注意缺陷的神经心理学评估中也可以获得有效且有意义的结果。讨论了基于TVA的参数估计在临床应用中的潜力和局限性。

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